Skip to content
localmodel.run

audio model · bark · Windows

BK Can I run Bark on 8GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict memory check
Yes, but tightheavy offloading

Yes. Bark runs on 8GB RAM Laptop (CPU/iGPU only) at fp32 (~5 GB of ~5 GB usable).

Needs ~5 GB Device usable ~5 GB

Fits at fp32 (~5 GB of ~5 GB usable) but with little headroom; close other apps.

Peak memory
~5 GB
Usable on device
~5 GB
Device memory
8 GB
Quant
fp32

How to run it

Use HF Transformers or suno-ai/bark at fp32. It is light enough to run on CPU; a GPU just makes it faster.

Model bark
Type
Text to speech (and sound effects)
Parameters
900M
Peak memory
~5 GB at fp32
License
MIT
Full Bark requirements →
Device Windows
Memory
8 GB ram
Usable for weights
~5 GB
Best runtime
Ollama (llama.cpp backend)
Best models for 8GB RAM Laptop (CPU/iGPU only) →

You could also run

Run Bark on other hardware

FAQ

Can 8GB RAM Laptop (CPU/iGPU only) run Bark?

Yes. Bark runs on 8GB RAM Laptop (CPU/iGPU only) at fp32 (~5 GB of ~5 GB usable).

How much memory does Bark need?

It is a tight fit on 8GB RAM Laptop (CPU/iGPU only). At fp32 the realistic peak is ~5 GB of memory.

What do I use to run Bark locally?

Bark runs in HF Transformers or suno-ai/bark (among others). It runs on CPU, so no GPU is required.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-06-15. See methodology.